25 Computer Vision News “There were a lot of great papers at MIUA, so I have asked myself the same question, of course,” he ponders. “While I’mvery happy that I achieved the Best Paper award, there were many other papers I really liked. I think one of the strengths of my paper is that the solution has a very modular approach. It works jointly with prior work in other fields. It’s modular for different registration frameworks. The evaluation is quite sound. Also, maybe it’s a topic that everybody can visualize for themselves. At least in our community, everybody knows what image registration is and that the main idea of shape matching could be one of the basic approaches for generalized registration. I think that’s averynice but comprehensible idea as well.” Mattias adds: “Christoph also made a good effort in making the paper reproducible and open. All the datasets are publicly available! His code is on GitHub and can be reused by other researchers.” Can Mattias give us any final insights into the man behind the work? “Christoph is really good at interacting with the scientific community,” he tells us. “He’s done a lot of great work in supporting the Learn2Reg challenge and has interacted with many other researchers in the field of medical image registration. Even though he’s not necessarily met them all in person, he’s provided a lot of support. I think this is a great strength!” Generalized 3D Medical Image …
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